Apache Kafka 4.2.0 is here โ and itโs a big one. The headliner? Queues for Kafka (KIP-932) is officially GA. This means you can finally use Kafka for classic "competing consumer" queuing patterns without the rigid constraints of partition assignments.
But there is much more:
#ApacheKafka #Kafka42 #EventStreaming #DataEngineering #DistributedSystems
#Uber has open-sourced #uForwarder - a push-based #ApacheKafka consumer proxy built to handle trillions of messages & multiple petabytes of data daily.
uForwarder introduces:
๐น Context-aware routing
๐น Head-of-line blocking mitigation
๐น Adaptive auto-rebalancing
๐น Partition-level delay processing
The result โ Read #InfoQ to find out: https://bit.ly/4u9T2Lg
#SoftwareArchitecture #EventDrivenArchitecture #Microservices #DistributedSystems #OpenSource
A network partition is a communication break between nodes in a distributed system. Partition tolerance is necessary for any distributed deployment because network failures are unavoidable in practice.
The CAP theorem, proven by MIT's Gilbert and Lynch in 2002, states a distributed data store can guarantee only two of three properties: consistency, availability, and partition tolerance.
A distributed system runs across many networked nodes. Failures occur when nodes crash, networks partition, or messages are lost, making reliable coordination a fundamental design challenge.
Implementing transparency in distributed systems has real costs. Hiding failures, latency, and replication requires middleware overhead. Designers select only the transparency forms their application needs, balancing completeness against performance constraints.
Location and access transparency are considered the most fundamental forms of transparency in distributed systems. Together they let a user locate and use any resource without knowledge of its physical location or its underlying access mechanisms.
SoftwareMill
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Robert Burgholzer
InfoQ
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Kanishka Naik